<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: Khyati Kapil</title>
    <description>The latest articles on DEV Community by Khyati Kapil (@khyatikapil).</description>
    <link>https://dev.to/khyatikapil</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4169683%2F5ce16f84-df2f-4ddc-b6fe-05aa3c8fd6e4.png</url>
      <title>DEV Community: Khyati Kapil</title>
      <link>https://dev.to/khyatikapil</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/khyatikapil"/>
    <language>en</language>
    <item>
      <title>Field Notes: A Local Gemma Doodle Deck for Touching Grass</title>
      <dc:creator>Khyati Kapil</dc:creator>
      <pubDate>Thu, 08 Oct 2026 19:57:31 +0000</pubDate>
      <link>https://dev.to/khyatikapil/field-notes-a-local-gemma-doodle-deck-for-touching-grass-4hkp</link>
      <guid>https://dev.to/khyatikapil/field-notes-a-local-gemma-doodle-deck-for-touching-grass-4hkp</guid>
      <description>&lt;p&gt;&lt;em&gt;This is a submission for the &lt;a href="https://dev.to/challenges/hacktoberfest-week1-2026-10-05"&gt;Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  What I Built
&lt;/h2&gt;

&lt;p&gt;&lt;strong&gt;Field Notes&lt;/strong&gt; is a minimal doodle-themed outdoor prompt deck for people who want to get off their screens without turning “go outside” into another productivity task.&lt;/p&gt;

&lt;p&gt;Tap &lt;strong&gt;draw a field note&lt;/strong&gt; to get a tiny observation prompt. There is also a &lt;strong&gt;try local Gemma&lt;/strong&gt; button that generates a fresh prompt when Gemma is running locally. When it is not, the offline deck takes over immediately.&lt;/p&gt;

&lt;p&gt;The intended interaction is simple: draw a note, read it, put the phone away, and go notice something.&lt;/p&gt;

&lt;h2&gt;
  
  
  Demo
&lt;/h2&gt;

&lt;p&gt;&lt;a href="https://feild-notes.netlify.app/" rel="noopener noreferrer"&gt;https://feild-notes.netlify.app/&lt;/a&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  Code
&lt;/h2&gt;

&lt;p&gt;&lt;a href="https://github.com/Khyati-Kapil/hacktoberfest-touchgrass" rel="noopener noreferrer"&gt;https://github.com/Khyati-Kapil/hacktoberfest-touchgrass&lt;/a&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  How I Built It
&lt;/h2&gt;

&lt;p&gt;The &lt;strong&gt;try local Gemma&lt;/strong&gt; action calls Ollama’s local &lt;code&gt;/api/generate&lt;/code&gt; endpoint with the open-weight &lt;code&gt;gemma3:1b&lt;/code&gt; model. The prompt asks Gemma for exactly two short sentences describing an outdoor observation, and the response is rendered into the field-note card.&lt;/p&gt;

&lt;p&gt;If the local runtime is unavailable, the app falls back to a deterministic prompt deck. To try Gemma:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight shell"&gt;&lt;code&gt;ollama pull gemma3:1b
ollama serve
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;The app uses vanilla HTML/CSS/JavaScript, local Gemma inference, a deterministic fallback, a service worker, localStorage only, and no analytics or location tracking.&lt;/p&gt;

&lt;p&gt;Gemma is a strong fit because Google describes the Gemma family as lightweight open-weight models that can run on laptops and local hardware. I also drew from community discussions about &lt;a href="https://dev.to/tamizuddin/why-local-first-is-the-new-stack-how-to-build-data-sovereign-ai-apps-with-local-llms-private-2m5l"&gt;local-first AI and data sovereignty&lt;/a&gt; and &lt;a href="https://dev.to/ohugonnot/offline-pwa-the-pitfalls-of-an-app-that-never-asks-for-the-network-fc7"&gt;offline PWA failure modes&lt;/a&gt;.&lt;/p&gt;

&lt;h2&gt;
  
  
  Why Does Open Innovation Matter?
&lt;/h2&gt;

&lt;p&gt;A closed API would make this project easy to demo, but it would work against the point of the product.&lt;/p&gt;

&lt;p&gt;Field Notes is meant for moments when connectivity may be poor and attention is already scarce. A local open-weight model can run without sending a person’s location, mood, or activity history to a server. It can also be swapped, fine-tuned, or prompted differently as the project evolves.&lt;/p&gt;

&lt;p&gt;That makes the product:&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Offline by design.&lt;/li&gt;
&lt;li&gt;Private by default.&lt;/li&gt;
&lt;li&gt;Replaceable at the model layer.&lt;/li&gt;
&lt;li&gt;Low-cost to experiment with.&lt;/li&gt;
&lt;li&gt;Shorter to use than a typical AI app.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;For this project, open innovation is what makes the “draw, then leave” interaction believable.&lt;/p&gt;

&lt;h2&gt;
  
  
  My Agent Session
&lt;/h2&gt;

&lt;p&gt;Optional: I can add a saved DevRelay agent session link here after the session is saved.&lt;/p&gt;

&lt;h2&gt;
  
  
  Prize Categories
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;Overall challenge&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Best Use of Gemma&lt;/strong&gt;&lt;/li&gt;
&lt;/ul&gt;

</description>
      <category>devchallenge</category>
      <category>hf26challenge</category>
    </item>
  </channel>
</rss>
